Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

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Research on quality assessment method based on statistical analysis of full life cycle of power grid equipment

Authors
Ying Wang1, Fangshun Xiao1, Jiawei Lin1, Xuemei Zhu1, Meihua Zou1, *
1State Grid Economic and Technological Research Institute CO., LTD, Beijing, 102209, China
*Corresponding author. Email: juzen123@126.com
Corresponding Author
Meihua Zou
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_52How to use a DOI?
Keywords
power grid equipment; full life cycle; big data statistical analysis; quality assessment method
Abstract

The quality of power grid equipment is related to the safe and stable operation of the power grid, and to a large extent determines the future operation and maintenance, maintenance, the cost. How to carry out equipment selection and supplier selection, and do a good job in equipment access, is an important issue facing the power grid companies. Combined with the whole life cycle theory, considering the influence of different equipment operation life, defects, and early decommissioning due to quality problems, build a relatively complete equipment defect rate, failure rate and equipment life evaluation model, and combining the three factors to form the overall evaluation of equipment quality, to provide a more scientific decision basis for equipment selection procurement and equipment operational strategy optimization.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
10.2991/978-94-6463-326-9_52
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_52How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ying Wang
AU  - Fangshun Xiao
AU  - Jiawei Lin
AU  - Xuemei Zhu
AU  - Meihua Zou
PY  - 2023
DA  - 2023/12/30
TI  - Research on quality assessment method based on statistical analysis of full life cycle of power grid equipment
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 504
EP  - 510
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_52
DO  - 10.2991/978-94-6463-326-9_52
ID  - Wang2023
ER  -